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Enables LLMs to control cloud browsers for web interaction, data extraction, and task automation using Browserbase and Stagehand.
Build a persistent semantic graph from conversations with AI assistants using standard Markdown files.
Enables AI assistants to interact with the Godot game engine by launching the editor, running projects, and capturing debug output.
Converts various file types and web content into Markdown format.
Enables communication between Unity and Large Language Models for automating workflows and controlling the Unity Editor.
Enables interaction with an Obsidian vault via the Obsidian Local REST API plugin.
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Enables n8n workflows to interact with Model Context Protocol (MCP) servers for accessing resources, executing tools, and utilizing prompts.
Provides a quick start guide for programming with the Model Context Protocol (MCP) in Chinese.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Documents potential implementations for Nostr-compatible relay and client software.
Enables Java applications to interact with AI models and tools through a standardized interface.
Provides access to large language and vision-language models based on linear attention for various natural language and multimodal tasks.
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Build a comprehensive personal knowledge base with this open-source note-taking application.
Automates complex engineering tasks by integrating with developer tools and leveraging AI for planning, execution, and iteration.
Build Java enterprise applications with a restrained, efficient, open, and ecological framework.
Index and search code across multiple repositories and branches from various code hosting platforms.
Create and configure development containers from devcontainer.json files, providing isolated development environments.
Captures screenshots on macOS without user interaction, enabling AI assistants to visually analyze UI bugs, designs, and data.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Experience AI Xiaozhi's voice and smart assistant functionalities through a versatile Python-based client, enabling access without dedicated hardware.
Automate and control various Apple applications and services through the Model Context Protocol.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Enables AI agents to control web browsers via a Chrome extension, offering full Playwright API access with minimal context overhead.
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